How to see all Data Types in Performance Chart after training a network in nntraintool

1 次查看（过去 30 天）
SayedPedram Hosseini
评论： Greg Heath 2020-5-25
Hello everyone,
I've just trained a Network on a Data set, but I'm not able to see all three Data types in there. It shows just one curve labeled for test data and a green circle(for validation?!), shown in the Picture below (however the convergence behavior seems to be for Train data, I guess).
I've checked the way I've set up the Data and its form for the network. but it's OK. I've run the samples in Deep learning toolbox documentation( Cancer Detection, Wine Classification and Crab Classification). They've performed well, as written in Documentation, and all three curves were shown. I can't detect what's wrong in my case.
Thanks for your help!

请先登录，再回答此问题。

回答（1 个）

Walter Roberson
Walter Roberson 2020-5-22
The missing lines are "underneath" the red line. The red line was drawn last, so it is on top.
If you look carefully at the corner near epoch 5 and MSE .6 or so, you can see a place where the green is showing through where the match was not identical. See also from about 525 to 600 the green shows slightly. The blue is underneath the red, it appears to me.
If you zoom in you can probably separate the green from the red better.
  2 个评论
SayedPedram Hosseini
SayedPedram Hosseini 2020-5-22
It's right and is excatly the problem, that the lines are so close to each other. I've changed the number of hidden layers of Network and the training function many times, but always all curves are on each other.
I think this result is weird and couldnt be a correct training of a network, though the Data set has a large number of samples.
Greg Heath
Greg Heath 2020-5-25
This is a common result for good designs.
One hidden layer is sufficient for any problem.
Minimize the number of hidden nodes to mitigate overtraining an overfit net
Hope this helps.
THANK YOU FOR FORMALLY ACCEPTING MY ANSWER
Greg

请先登录，再进行评论。

类别

在 Help Center 和 File Exchange 中查找有关 AI for Signals and Images 的更多信息

标签

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by